Software Engineering Manager SOL-1907
Softgic Medellín, Antioquia, Colombia
IT Services and IT Consulting · 51-200 employees
About the role
Lead a team of senior engineers in building core eDiscovery software while managing delivery timelines and engineering standards. Foster a high-performing team culture through coaching, performance management, and the responsible implementation of AI-assisted development tools.
What they look for
Requirements
Requires over 7 years of software development experience and at least 3 years in engineering leadership or mentoring roles. Candidates must demonstrate strong technical depth, experience managing large engineering teams, and proficiency in .NET/C# and PostgreSQL.
Full description
As a Manager, Software Engineering, you will lead a team of senior engineers building core eDiscovery software while owning both people leadership and software delivery.
You will plan and sequence work with Product, commit to delivery timelines, remove blockers, and maintain high engineering standards through credible design and code reviews. You will develop engineers through regular coaching, feedback, and performance management while helping build a high-performing and accountable team.
You will also shape how the team uses AI development tools, establishing standards for responsible use, verification of AI-generated code, and leveraging AI to improve engineering productivity without compromising quality.
Schedule: Monday–Friday, 8:00 AM–5:00 PM EST
Requirements
- 7+ years of software development experience.
- 3+ years in engineering leadership or mentoring roles.
- Proven experience managing software engineering teams, ideally 10–16+ engineers.
- Strong technical depth to credibly review software designs and code.
- Proven ability to own delivery timelines, commitments, and team performance.
- Experience using metrics to manage delivery and improve engineering effectiveness.
- Strong experience with coaching, feedback, mentoring, and performance management.
- Experience delivering software in an AI-assisted engineering environment.
- Ability to establish standards for responsible use and verification of AI-generated code.
- Strong understanding of scalable software systems and modern engineering practices.
- Strong written and verbal communication, collaboration, and accountability.
- Familiarity with .NET/C# and PostgreSQL is highly preferred.
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